Computational study of the conformational profiles of model bis-cystine cyclic peptides

Bis-cystine cyclic peptides are a new kind of molecules with potential use as cavitands, transporters or antagonists of target ligands. Studies aimed at establishing their conformational profiles may prove useful in understanding their characteristics and potentiate their use in molecular design. The present investigation reports the results of a computational study devoted to establishing the conformational preferences of model bis-cystine cyclic peptides and the properties in common with their linear analogs. For this purpose a study of four model compounds: (Ac-Cys-X-Cys-NHMe)₂ and (Ac-Cys-X-X-Cys-NHMe)₂ with X = Ala, Val, was performed. The goal of the study was to explore the importance of the conformational nature of the central residues, the effect of the number of them, and the loss of conformational freedom after cyclization on model molecules. Accordingly, the conformational space and the dynamic behaviour of the four cyclic peptides as well as the corresponding linear analogs was carefully explored. The results indicate the existence of structural patterns that might be useful for the use of this kind of molecule in de novo molecular design     

Proteome characterization of the unsequenced psychrophile Pedobacter cryoconitis using 15N metabolic labeling, tandem mass spectrometry, and a new bioinformatic workflow

Organisms without a sequenced genome and lacking a complete protein database encounter an added level of complexity to protein identification and quantitation. De novo sequencing, new bioinformatics tools, and mass spectrometry (MS) techniques allow for advances in this area. Here, the proteomic characterization of an unsequenced psychrophilic bacterium, Pedobacter cryoconitis, is presented employing a novel workflow based on (15) N metabolic labelling, 2DE, MS/MS, and bioinformatics tools. Two bioinformatics pipelines, based on nitrogen constraint (N-constraint), ortholog searching, and de novo peptide sequencing with N-constraint similarity database search, are compared based on proteome coverage and throughput. Results demonstrate the effect of different growth temperatures (1°C, 20°C) and different carbon sources (glucose, maltose) on the proteome. Seventy-six and 69 proteins were identified and validated from the glucose- and maltose-grown bacterium, respectively, from which 21 and 22 were differentially expressed at different growth temperatures. Differentially expressed proteins are involved in stress response and carbohydrate metabolism, with higher expression at 20°C than at 1°C, while antioxidants were upregulated at 1°C. This study provides an alternative workflow to identify, validate, and quantify proteins from unsequenced organisms distantly related to other species in the protein database. Furthermore, it provides further understanding on bacterial adaptation mechanisms to cold environments, and a comparative proteomic analyses with other psychrophilic microorganisms.     

OVNIp: An open source application facilitating the interpretation,the validation and the edition of proteomics data generated by MS analyses and de novo sequencing

Several academic software are available to help the validation and reporting of proteomics data generated by MS analyses. However, to our knowledge, none of them have been conceived to meet the particular needs generated by the study of organisms whose genomes are not sequenced. In that context, we have developed OVNIp, an open‐source application which facilitates the whole process of proteomics results interpretation. One of its unique attributes is its capacity to compile multiple results (from several search engines and/or several databank searches) with a resolution of conflicting interpretations. Moreover, OVNIp enables automated exploitation of de novo sequences generated from unassigned MS/MS spectra leading to higher sequence coverage and enhancing confidence in the identified proteins. The exploitation of these additional spectra might also identify novel proteins through a MS‐BLAST search, which can be easily ran from the OVNIp interface. Beyond this primary scope, OVNIp can also benefit to users who look for a simple standalone application to both visualize and confirm MS/MS result interpretations through a simple graphical interface and generate reports according to user‐defined forms which may integrate the prerequisites for publication. Sources, documentation and a stable release for Windows are available at http://wwwappli.nantes.inra.fr:8180/OVNIp .     

Assessing peptide de novo sequencing algorithms performance on large and diverse data sets

De novo peptide sequencing algorithms are often tested on relatively small data sets made of excellent spectra. Since there are always more and more tandem mass spectra available, we have assembled six large, reliable, and diverse (three mass spectrometer types) data sets intended for such tests and we make them accessible via a web server. To exemplify their use we investigate the performance of Lutefisk, PepNovo, and PepNovoTag, three well-established peptide de novo sequencing programs.     

Isolation and biochemical characterization of peptides presenting antimicrobial activity from the skin of Phyllomedusa hypochondrialis

Amphibian antimicrobial peptides have been known for many decades and several of them have been isolated from anuran species. Dermaseptins are among the most studied antimicrobial peptides and are found in the skin secretion of tree frogs from the Phyllomedusinae subfamily. These peptides exert a lytic action on bacteria, protozoa, yeast, and filamentous fungi at micromolar concentrations, but unlike polylysines, present little hemolytic activity. In this work, two antimicrobial peptides were isolated from the crude skin secretion of Phyllomedusa hypochondrialis and tested against Gram-positive and Gram-negative bacteria, presenting no hemolytic activity at the tested concentrations. One of them was identified with the recently reported peptide PS-7 belonging to the phylloseptin family, and another was a novel peptide, named DPh-1, which was fully purified, sequenced by ‘de novo’ mass spectrometry and grouped into Dermaseptins (DPh-1).     

Sequencing of the thirteen structurally isomeric quartets of N‐terminal dipeptide motifs in peptides by collision‐induced dissociation

N‐terminal sequencing of protonated peptides is challenging, since each b₂ ion represents two sequence isomers, e.g., NE and EN. Additionally the occurrence of compositional isomers, such as NE and QD, further increases the number of isomers to four (NE, EN, QD, DQ). This leads to a subset of 13 b₂ ion masses where each value represents four individual species. The b₂ ions within such a quartet are characterized by the same elemental composition. To test the utility of CID for differentiation of isomeric b₂ ions, the CID spectra of 52 small synthetic peptides were recorded, representing the 13 isomeric b₂ ion quartets, which may be formed from unmodified amino acid residues. The CID spectra of protonated peptides containing these quartets were carefully inspected for N‐terminal sequence information. Below the m/z value of the b₂ ion, individual differences were found in the b₂ fragment ion signatures (neutral loss of CO, H₂O, NH₃, and other less common units). Recognition of N and Q in second position from the N‐terminus is based on c₁ ion formation. Relative intensities of immonium ions were also used for differentiation between sequence isomers. In the complementary high‐mass regions above the m/z value of the y_max‐2 ion, individual differences were observed in the formation of y_max‐1, x_max‐1 and z_max‐1 ions, which could be correlated to the complementary low‐mass ions. In summary, de novo sequencing of the N‐terminal dipeptide motif is feasible by considering all available sequence information present in CID spectra of protonated peptides.     

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework

1. Download : Download high-res image (131KB)
2. Download : Download full-size image

Highlights

• •Deep learning-based hybrid de novo sequencing with database search strategy.
• •Accurate identifications via ability to revise confidence scores and amino acids.
• •Discovery of >10,000 potential new HLA antigens and human phosphopeptides.
• •A dataset of >26 million annotated HCD spectra from Q Exactive instruments.

     

Detecting outlier peptides in quantitative high-throughput mass spectrometry data

Quantitative high-throughput mass spectrometry has become an established tool to measure relative gene expression proteome-wide. The output of such an experiment usually consists of a list of expression ratios (fold changes) for several thousand proteins between two conditions. However, we observed that individual peptide fold changes may show a significantly different behavior than other peptides from the same protein and that these differences cannot be explained by imprecise measurements. Such outlier peptides can be the consequence of several technical (misidentifications, misquantifications) or biological (post-translational modifications, differential regulation of isoforms) reasons. We developed a method to detect outlier peptides in mass spectrometry data which is able to delineate imprecise measurements from real outlier peptides with high accuracy when the true difference is as small as 1.4 fold. We applied our method to experimental data and investigated the different technical and biological effects that result in outlier peptides. Our method will assist future research to reduce technical bias and can help to identify genes with differentially regulated protein isoforms in high throughput mass spectrometry data.     

The human pituitary nitroproteome: detection of nitrotyrosyl-proteins with two-dimensional Western blotting, and amino acid sequence determination with mass spectrometry

Nitric oxide is an important mediator that participates in reduction-oxidation (redox) mechanisms and in cellular signal transduction pathways. Two types of post-translational modifications are induced by nitric oxide: S-nitrosylation of cysteine residues and nitration of tyrosine residues. Two-dimensional gel electrophoresis-based Western blotting was used to detect, and liquid chromatography (LC)-tandem mass spectrometry (MS/MS) to determine the amino acid sequence of, several different nitrated proteins in the human pituitary. Proteins from several 2D gel spots, which corresponded to the strongly positive anti-nitrotyrosine Western blot spots, were subjected to in-gel trypsin-digestion and LC-MS/MS analysis. MS/MS, SEQUEST analysis, and de novo sequencing were used to determine the nitration site of each nitrated peptide. A total of four different nitrated peptides were characterized and were matched to four different proteins: synaptosomal-associated protein, actin, immunoglobulin alpha Fc receptor, and cGMP-dependent protein kinase 2. Those nitrotyrosyl-proteins participate in neurotransmission, cellular immunity, and cellular structure and mobility.     

Algorithms for the de novo sequencing of peptides from tandem mass spectra

Proteomics is the study of proteins, their time- and location-dependent expression profiles, as well as their modifications and interactions. Mass spectrometry is useful to investigate many of the questions asked in proteomics. Database search methods are typically employed to identify proteins from complex mixtures. However, databases are not often available or, despite their availability, some sequences are not readily found therein. To overcome this problem, de novo sequencing can be used to directly assign a peptide sequence to a tandem mass spectrometry spectrum. Many algorithms have been proposed for de novo sequencing and a selection of them are detailed in this article. Although a standard accuracy measure has not been agreed upon in the field, relative algorithm performance is discussed. The current state of the de novo sequencing is assessed thereafter and, finally, examples are used to construct possible future perspectives of the field.     

C-terminal de novo sequencing of peptides using oxazolone-based derivatization with bromine signature

Due to almost identical chemical properties of C-terminal and side-chain carboxylic groups, selective C-terminal derivatization has been difficult. Although oxazolone-based C-terminal derivatization is the only selective C-terminal modification available, it has not been used widely because of its low derivatization efficiency. In this paper, an improved oxazolone chemistry for incorporation of Br signature to C-terminus is reported. MS/MS analysis of the brominated peptides led to a series of y ions with Br signature, facilitating de novo C-terminal sequencing.     

Simplified validation of borderline hits of database searches

Along with unequivocal hits produced by matching multiple MS/MS spectra to database sequences, LC-MS/MS analysis often yields a large number of hits of borderline statistical confidence. To simplify their validation, we propose to use rapid de novo interpretation of all acquired MS/MS spectra and, with the help of a simple software tool, display the candidate sequences together with each database search hit. We demonstrate that comparing hit database sequences and independent de novo interpretations of the same MS/MS spectra assists in rapid examination of ambiguous matches.     

Challenges in mass spectrometry-based proteomics

During the last decade, protein analysis and proteomics have been established as new tools for understanding various biological problems. As the identification of proteins after classical separation techniques, such as two-dimensional gel electrophoresis, have become standard methods, new challenges arise in the field of proteomics. The development of "functional proteomics" combines functional characterization, like regulation, localization and modification, with the identification of proteins for deeper insight into cellular functions. Therefore, different mass spectrometric techniques for the analysis of post-translational modifications, such as phosphorylation and glycosylation, have been established as well as isolation and separation methods for the analysis of highly complex samples, e.g. protein complexes or cell organelles. Furthermore, quantification of protein levels within cells is becoming a focus of interest as mass spectrometric methods for relative or even absolute quantification have currently not been available. Protein or genome databases have been an essential part of protein identification up to now. Thus, de novo sequencing offers new possibilities in protein analytical studies of organisms not yet completely sequenced. The intention of this review is to provide a short overview about the current capabilities of protein analysis when addressing various biological problems.     

Estimating the Contribution of Proteasomal Spliced Peptides to the HLA-I Ligandome*

1. Download : Download high-res image (105KB)
2. Download : Download full-size image

Highlights

• •Reported proteasomal spliced HLA peptides do not fit the consensus binding motifs.
• •Their MS/MS spectrum matches suggest that many of them are ambiguous.
• •Our workflow is based on de novo sequencing, alignment, and multiple search tools.
• •The upper bound proportion of cis-spliced peptides is 2–6% and likely much smaller.

     

Oxford Nanopore MinION Sequencing and Genome Assembly

The revolution of genome sequencing is continuing after the successful second-generation sequencing (SGS) technology. The third-generation sequencing (TGS) technology, led by Pacific Biosciences (PacBio), is progressing rapidly, moving from a technology once only capable of providing data for small genome analysis, or for performing targeted screening, to one that pro-mises high quality de novo assembly and structural variation detection for human-sized genomes. In 2014, the MinION, the first commercial sequencer using nanopore technology, was released by Oxford Nanopore Technologies (ONT). MinION identifies DNA bases by measuring the changes in electrical conductivity generated as DNA strands pass through a biological pore. Its portability, affordability, and speed in data production makes it suitable for real-time applications, the release of the long read sequencer MinION has thus generated much excitement and interest in the geno-mics community. While de novo genome assemblies can be cheaply produced from SGS data, assem-bly continuity is often relatively poor, due to the limited ability of short reads to handle long repeats. Assembly quality can be greatly improved by using TGS long reads, since repetitive regions can be easily expanded into using longer sequencing lengths, despite having higher error rates at the base level. The potential of nanopore sequencing has been demonstrated by various studies in gen-ome surveillance at locations where rapid and reliable sequencing is needed, but where resources are limited.     

An efficient strategy for the large-scale synthesis of head-to-tail cyclic peptides

Summary An efficient and generally applicable method for the synthesis of head-to-tail cyclic peptides with HBTU (2-(1H-benzotriazol-1-yl)-1,1,3, 3-tetramethyluronium hexafluorophosphate) has been developed. The utility of this approach was exemplified with the multigram preparation of a potent endothelin receptor-selective (ET_A) antagonist BQ-123 (cyclo[-d-Trp-d-Asp-Pro-d-Val-Leu-]). This methodology can be readily applied to the small-and largescale synthesis of other head-to-tail cyclic peptides.     

Pharmacodynamic synergy strictly dependent on the co-operative aggregation of enantiomers of cyclic peptides in the bacterial cell membrane

The antimicrobial activity of the peptide enantiomers cyclo[D-Tle-D-Lys-D-Tle-L-Ala-D-Tle-L-Ala-D-Tle-L-Ala] and cyclo[L-Tle-L-Lys-L-Tle-D-Ala-L-Tle-D-Ala-L-Tle-D-Ala] against Bacillus megaterium was investigated. Both these peptides showed very low activity in both an agar diffusion assay and a broth microdilution assay. However, when both peptides were present during the experiments a potent inhibition with an IC(50) value of 2 μM was observed. Furthermore, the peptides also showed low hemolytic activity. Neither peptide had any hemolytic activity in concentrations up to 1mM but when erythrocytes were exposed to both peptides a weak hemolytic activity could be observed with a HC(50) value of 316 μM.     

Ion-trap mass spectrometry unveils the presence of isomeric oligosaccharides in an analyte: stage-discriminated correlation of energy-resolved mass spectrometry

Mass spectrometry, especially tandem mass spectrometry, has been widely used in the field of analytical sciences for handling biological and chemical samples. The technique resolves molecular and fragment ions based on the mass to charge ratio. Energy-resolved mass spectrometry (ERMS) further provides an activation energy-related factor in the dissociation reaction. Therefore, it is a very powerful technique that can discriminate isomeric compounds. Despite the power of ERMS, useful information cannot be obtained when an analyte contains structural isomers. Carbohydrates carry multiple chiral centers, thus oligomers of monosaccharides can form a vast number of structural isomers. We decided to use such species in our endeavors to establish a method of identifying the ‘purity’ of an analyte solely based on mass spectrometry. In the present paper, we describe a stage-discriminated spectral correlation of ERMS, which not only enables identification of the presence of contaminants in an analyte, but also provides information regarding the ‘purity’ of fragment ions.     

Protein and peptide identification algorithms using MS for use in high-throughput, automated pipelines

Current proteomics experiments can generate vast quantities of data very quickly, but this has not been matched by data analysis capabilities. Although there have been a number of recent reviews covering various aspects of peptide and protein identification methods using MS, comparisons of which methods are either the most appropriate for, or the most effective at, their proposed tasks are not readily available. As the need for high-throughput, automated peptide and protein identification systems increases, the creators of such pipelines need to be able to choose algorithms that are going to perform well both in terms of accuracy and computational efficiency. This article therefore provides a review of the currently available core algorithms for PMF, database searching using MS/MS, sequence tag searches and de novo sequencing. We also assess the relative performances of a number of these algorithms. As there is limited reporting of such information in the literature, we conclude that there is a need for the adoption of a system of standardised reporting on the performance of new peptide and protein identification algorithms, based upon freely available datasets. We go on to present our initial suggestions for the format and content of these datasets.     

Improving oral bioavailability of cyclic peptides by N-methylation

The renaissance of peptides in pharmaceutical industry results from their importance in many biological functions. However, low metabolic stability and the lack of oral availability of most peptides is a certain limitation. Whereas metabolic instability may be often overcome by development of small cyclic peptides containing d-amino acids, the very low oral availability of most peptides is a serious limitation for some medicinal applications. The situation is complicated because a twofold optimization – biological activity and oral availability – is required to overcome this problem. Moreover, most simple “rules” for achieving oral availability are not general and are applicable only to limited cases. Many structural modifications for increasing biological activities and metabolic stabilities of cyclic peptides have been described, of which N-alkylation is probably the most common. This mini-review focuses on the effects of N-methylation of cyclic peptides in strategies to optimize bioavailabilities.